Minimum Qualifications and Job Requirements: + Must have knowledge of Generative AI and Large Language Models (LLMs) + Must have knowledge of Business Intelligence (BI) and Data Visualization Platforms + Must have Bachelor's degree, preferably in a technology related discipline + Must have at least 5 years of IT development experience. + Must have strong analytical and problem-solving skills. + Must have experience in business requirement documentation, writing use cases, and user acceptance testing. Essential Job Functions: + Collaborate with internal product teams to understand their specific communication needs, dealer pain points, and desired outcomes for an AI chat service. + Translate business requirements into detailed technical specifications for the AI chat system, such as what types of questions it should answer (e.g., VIN-specific inquiries, service booking, test drive scheduling), how it should qualify leads, and how it should integrate with existing dealership systems. + Define data flows, use cases, business requirements, and integration points for client data along with documentation that describes data being shared and the applicable use cases that apply to it. + Identify key performance indicators (KPIs) for the AI chat service, such as lead generation rate, lead qualification rate, conversation completion rate, customer satisfaction (CSAT), and common drop-off points. + Identify and prepare the data sources needed to train the AI models (knowledge bank), ensuring the chat provides accurate and dealership-specific information. This includes understanding how the AI processes and interprets customer inquiries and responds appropriately. + Construct test cases for newly integrated data as well help participate in the testing and verification of the AI accurate usage of that data and offers a satisfactory user experience. This includes functional and non-functional testing, as well as user acceptance testing (UAT). + Create and maintain detailed documentation for the digital services including data sources, data definitions, calculation methodologies, system architecture, and user guides. + Ensure the accuracy, completeness, and reliability of the data presented in Analytics dashboards. Establish data validation processes and conducts regular audits to maintain high data quality. + Coordinate with external vendors to ensure their software aligns with the dealership's needs and integrates seamlessly with existing systems. Other Responsibilities: + Document and maintain project artifacts. + Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices. + Safeguard the company's assets. + Adhere to the company's compliance program. + Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices. + Maintain focus on customer-service, efficiency, quality, and growth. + Collaborating with additional team members + Other duties as assigned